
with \((\mu _0, \mu _1)\)  unknown arms' parameters.
By assuming independent and identically distributed rewards, the conditional mean reward does not depend on the prior history [1]}. Here we focus on the stationary case but our approach is largely applicable to non-stationary settings (see Supplementary material D1).
